Businesses in Lima
Categories in Lima
Industries
Business Distribution by Industry in Lima
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Restaurants | 26,062 | 19 years |
| Shopping | 21,744 | 25 years |
| Corporate management | 11,929 | 25 years |
| Education | 10,147 | 28 years |
| Clothing stores | 9,305 | 20 years |
| Grocery stores and supermarkets | 7,756 | 26 years |
| Beauty salons | 5,753 | 14 years |
| Pharmacies and drug stores | 5,503 | 33 years |
| Car repair | 5,295 | 21 years |
Lima Facts
| Area | 2710.1 km² |
| Population | 9,458,522 |
| Male Population | 4,622,687 (48.9%) |
| Female Population | 4,835,835 (51.1%) |
| Population change (1975 to 2020) | +163.0% |
| Population change (2000 to 2020) | +36.6% |
| Median Age | 27.8 years (Male: 27.2, Female: 28.4) |
| Area Codes | 1 |
| Neighborhoods | Cercado de Lima, Miraflores, Santiago De Surco, San Isidro, Jesús María |
| Local Time | |
| Timezone | Peru Standard Time |
| Lat & Lng | -12.04318, -77.02824 |
| Postal Codes | 15000, 15100, 15121, 15122, 15123, More |
Map of Lima
Interactive Map
Lima Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 3,595,853 | 5,549,813 | 6,923,354 | 9,004,092 | 9,458,522 |
| Population Density | 1,326.8 / km² | 2,047.8 / km² | 2,554.6 / km² | 3,322.4 / km² | 3,490.1 / km² |
Lima Population change from 2000 to 2015
Increase of 30.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Lima | +150.4% | +62.2% | +30.1% |
| Lima Province | +144.8% | +59.8% | +28.8% |
| Peru | +104.4% | +42.6% | +20.2% |
Lima Median Age
Median Age: 27.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Lima | 27.8 yrs | 28.4 yrs | 27.2 yrs |
| Lima Province | 27.7 yrs | 28.2 yrs | 27.1 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Lima Population Density
Population Density: 3,490 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Lima | 9.5 million | 2,710.1 km² | 3,490 / km² |
| Lima Province | 9.9 million | 34,986.5 km² | 283 / km² |
| Peru | 31 million | 1,291,975 km² | 24 / km² |
Lima Historical and Projected Population
Estimated Population from 1890 to 2100
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Neighborhoods in Lima
Percentage of businesses by neighborhood in Lima
Area Codes
Percentage Area Codes used by businesses in Lima
Postal Codes
Percentage of businesses by Postal Codes in Lima
Price Distribution
Business distribution by price for Lima
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Lima CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Lima | 30,131,001 tn | 3.19 tn | 11,117.9 tons/km² |
| Lima Province | 31,096,422 tn | 3.14 tn | 888.8 tons/km² |
| Peru | 71,626,946 tn | 2.31 tn | 55.4 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 30,131,001 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.19 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 11,117.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | High (10) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 5/28/19 | 3:14 AM | 4.6 | 65.3 km | 35,000 m | 52km WSW of Callao, Peru | usgs.gov |
| 11/24/17 | 7:24 AM | 3.8 | 28.5 km | 51,580 m | 19km NW of Callao, Peru | usgs.gov |
| 11/1/17 | 3:36 AM | 4.2 | 44.6 km | 70,040 m | 18km S of Chancay, Peru | usgs.gov |
| 10/23/17 | 12:09 AM | 4.3 | 39.8 km | 39,690 m | 31km SSW of San Isidro, Peru | usgs.gov |
| 10/14/17 | 7:36 PM | 4.4 | 67.4 km | 10,000 m | 13km S of Matucana, Peru | usgs.gov |
| 9/26/17 | 12:54 AM | 3.9 | 66.2 km | 37,620 m | 52km W of Callao, Peru | usgs.gov |
| 9/15/17 | 4:10 AM | 4.3 | 68.1 km | 10,000 m | 5km SSW of Matucana, Peru | usgs.gov |
| 9/14/17 | 8:19 AM | 4.6 | 65.2 km | 10,000 m | 16km SSW of Matucana, Peru | usgs.gov |
| 7/9/17 | 1:07 AM | 4.7 | 46.1 km | 69,950 m | 15km ESE of Chancay, Peru | usgs.gov |
| 6/30/17 | 8:36 AM | 4.3 | 60.2 km | 39,960 m | 42km W of Chilca, Peru | usgs.gov |
Lima
Lima /ˈliːmə/ is the capital and the largest city of Peru. It is located in the valleys of the Chillón, Rímac and Lurín rivers, in the central coastal part of the country, overlooking the Pacific Ocean. Together with the seaport of Callao, it forms a..
Lima Wikipedia Page
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.


